Chat completions

curl https://api.revana.si/v1/chat/completions \
  -H "Authorization: Bearer $REVANA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-5.5","messages":[{"role":"user","content":"Write a haiku about routing."}]}'

{
  "id": "chat_3f9c…",
  "object": "chat.completion",
  "created": 1793318400,
  "model": "gpt-5.5",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Cheapest path first,\nfallback waits in the wings,\nanswers still arrive."
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 14,
    "completion_tokens": 18,
    "total_tokens": 32,
    "prompt_tokens_details": {
      "cached_tokens": 0
    },
    "cost_usd": 0.000141
  }
}

import os
from openai import OpenAI

client = OpenAI(base_url="https://api.revana.si/v1", api_key=os.environ["REVANA_API_KEY"])
reply = client.chat.completions.create(
    model="gpt-5.5",
    messages=[{"role": "user", "content": "Write a haiku about routing."}],
)
print(reply.choices[0].message.content)

import OpenAI from "openai"

const client = new OpenAI({ baseURL: "https://api.revana.si/v1", apiKey: process.env.REVANA_API_KEY })
const stream = await client.chat.completions.create({
  model: "gpt-5.5",
  messages: [{ role: "user", content: "Write a haiku about routing." }],
  stream: true,
})
for await (const chunk of stream) process.stdout.write(chunk.choices[0]?.delta?.content ?? "")

curl https://api.revana.si/v1/chat/completions \
  -H "Authorization: Bearer $REVANA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-5.5","messages":[{"role":"user","content":"Write a haiku about routing."}],"stream":true}'